作者: Danielle Christine Lyman
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摘要: Body type classification is employed to determine disease risk using measurements such as Waist-to-Hip Ratio (WHR) and waist circumference. However, these measures classify body types a priori determined cut-points. The purpose of this investigation was establish data-based cut-points denoting female ranging between android hyper-gynoid the WHR regional fat distribution-ratio (RFD-ratio). Waist, abdomen, hip circumference, height, weight, were obtained for 73 Caucasian females. circumferences used classification. abdomen BMI develop RFD-ratio subjects 20.93 ± 1.95 years old, weighed 62.31 9.92 kg, 163.78 6.70 cm tall. They had 23.19 3.21 kg•m-2 percentage 25.85 6.59. A TwoStep cluster analysis number “naturally” formed clusters. conducted with no determination clusters form, where make cut-points, or how many place in each cluster. Within both systems (ie. RFD-ratio), three good quality formed. For system, cut-point gynoid fell at 0.72, while 0.78. 0.68 0.78, respectively. To examine interchangeability systems, system’s values compared One-Factor ANOVA. Ratios differed (p < 0.01) systems. This indicated that two could not be interchangeably despite having correlation r = 0.65. It concluded can type. Owing application simplicity, system may preferable. Further examination subjects’ health status well testing larger overweight obese required broaden generalizability